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You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads.
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At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. As a Capital One SailPoint Engineer, you’ll work on a SailPoint identity platform to support Identity Access Management needs.
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As a Capital One SailPoint Engineer, you’ll work on our SailPoint IdentityIQ platform to support Identity Access Management needs. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Familiarity with Esri ArcGIS Enterprise, Esri ArcGIS Server, Esri ArcGIS Portal, Esri ArcGIS Pro, Esri ArcGIS GeoEvent Server, Esri ArcGIS Spatiotemporal Big Data Store, Esri ArcGIS Online. Bachelor's degree in computer science, geography or related field; plus, one year of experience working with and developing systems utilizing GIS platforms such as ESRI’s ArcGIS Desktop or Server software suites; or performing GIS modeling (e.g., feature classes), and spatial analysis (e.g., such as proximity analysis, image analysis, routing analysis.
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Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft) You’ll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
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Experience with Big Data technologies (Spark, MongoDB, Hadoop) You will contribute to the operationalization of a prototype system for a scalable NextGen space resiliency / flight safety program.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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As a Capital One Software Engineer, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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This is an exciting opportunity for someone with client-facing experience in energy, climate change, equity, and/or risk assurance who is seeking a role that involves strategic, big picture thinking, collaboration, and an interdisciplinary approach to solving complex challenges.
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The Metrics, Monitoring and Awareness team develops software applications and services that exist at the intersection of DevOps, Site Reliability Engineering and Big Data to help ensure services offered through every AWS region meet the highest standards of operational excellence and offer a consistent customer experience.
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3years progressive work experience, preferably with a "Big Four" or large regional public accounting firm, or in finance at a large public company. You will leverage your advanced education and experience to establish yourself in NVR's big picture and affect positive change.
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Knowledge of Big Data systems, including Hadoop, HDFS, Hive, or Cloudera. We are seeking a seeking a great mid level data architect with data visualization tools who love to spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances.
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big job Title: hadoop in Vienna, VA
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